Foundations of Multidimensional And Metric

"The book includes a thorough introduction; a comprehensive survey of multidimensional (including spatial) and metric data structures and algorithms; and implementation details for the most useful data structures. Along with hundreds of worked exercises and hundreds of illustrations, the result is a valuable reference tool for professionals in many areas, including computer graphics and visualization, databases, geographic information systems (GIS) and spatial databases, game programming, image processing and computer vision, pattern recognition, solid modelling and computational geometry, similarity retrieval and multimedia databases, VLSI Design, and search aspects of bioinformatics."--BOOK JACKET.

Hanan Samet is Professor in the Department of Computer Science at the University of Maryland at College Park.

Multidimensional data is data that exists and changes in more than one dimension, by time, or spatially, or both, sometimes dynamically
Think here of tracking hurricane data in order to project the storm's path, for just one example
As spatial and other multidimensional data structures become increasingly important for the applications in game programming, data mining, bioinformatics, and many other areas--including astronomy, geographic information systems, physics, etc., the need for a comprehensive book on the subject is paramount
This book is truly a life's work by the author who is clearly the best person for the job
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Foundations of Multidimensional And Metric Data Structures

Summary

Author Biography

Table of Contents

Supplemental Materials